We present a new construction for secure logistic regression training, which enables two
parties to train a model on private secret-shared data. Our goal is to minimize online …

ML-as-a-service continues to grow, and so does the need for very strong privacy
guarantees. Secure inference has emerged as a potential solution, wherein cryptographic …